
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "136"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 77 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 73 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.804100	0.514449	0.290194	2.652626	-0.287719	1.775609	0.906750	1.952140	0.7378	0.7554	0.2657	14.582695	15.614849
2459593	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.798592	7.101181	0.222919	2.288613	0.350501	1.964811	2.177031	1.965114	0.6924	0.6694	0.2759	5.545231	5.724200
2459592	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.132282	-1.021991	-0.350760	-1.200856	0.210203	0.005595	1.529875	-0.020038	0.0308	0.0308	0.0010	nan	nan
2459591	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.131326	15.496926	0.158951	4.239490	0.246839	2.319776	1.042709	1.413645	0.6343	0.6334	0.3630	5.544010	6.702717
2459590	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.823333	15.856445	0.165411	3.534545	0.204477	2.329161	1.180445	0.763006	0.6395	0.6347	0.3557	6.774259	7.118754
2459589	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.488231	14.960033	-0.111925	2.629844	0.715168	1.105558	0.779081	2.748851	0.6647	0.6482	0.3014	5.576587	6.581218
2459588	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.826919	5.433554	0.764687	3.035763	-0.144558	1.428639	1.454392	1.567496	0.7337	0.7072	0.2450	12.292924	10.636419
2459587	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	1.567877	16.165111	0.810587	6.007419	-0.368752	0.755659	0.776269	1.715485	nan	nan	nan	6.665114	11.451359
2459586	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.295888	9.551329	-0.813373	-0.272679	-0.238677	-0.065295	0.959491	1.362791	0.6188	0.6177	0.3585	4.448337	4.938923
2459585	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.535460	-0.993757	-1.101208	-0.143584	-0.599948	-0.080981	1.867597	-0.309460	0.0304	0.0294	0.0008	0.000000	0.000000
2459584	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.801403	22.084164	-0.740975	2.415054	-1.017880	-0.165902	0.027221	0.333427	0.5829	0.5813	0.3515	6.489204	10.518042
2459583	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.251976	15.630173	-0.886067	0.207633	0.589619	1.531036	0.230464	0.943253	0.6360	0.6319	0.3759	0.000000	0.000000
2459582	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.433087	13.369201	-0.571255	0.222165	-0.065530	1.006426	-0.273186	0.767690	0.6386	0.6325	0.3806	4.142477	4.523183
2459581	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459580	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.222446	13.753789	-0.572022	0.306258	0.031567	0.932899	0.401737	2.970537	0.6430	0.6394	0.3702	0.000000	0.000000
2459579	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.248913	13.976827	-0.561671	0.520688	0.099195	1.234948	0.511569	1.321114	0.6321	0.6267	0.3792	5.465475	6.459653
2459578	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.676910	0.133862	-0.685296	0.378955	-0.090518	0.171787	1.850078	-0.356127	0.0311	0.0301	0.0012	nan	nan
2459577	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.462684	16.977726	-0.912013	0.127055	0.177633	0.862601	0.019691	0.803060	0.6427	0.6404	0.3702	5.724721	5.926112
2459576	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.248384	12.464782	-0.703230	0.008483	0.767676	0.717475	-0.147380	1.319861	0.6662	0.6619	0.3723	6.779216	7.261110
2459575	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.017991	8.312225	-0.853686	-0.337003	-0.867333	1.001977	-0.633643	-0.055216	0.7177	0.7082	0.3368	6.222135	7.737623
2459574	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.106290	11.784045	-0.833830	-0.221361	1.554379	0.989246	1.571266	2.196313	0.6599	0.6586	0.3748	5.237368	5.498774
2459573	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.487056	12.817694	-0.810536	0.416562	0.543373	1.122204	0.491351	1.682355	0.6490	0.6489	0.3823	5.804383	6.138354
2459572	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.393105	12.335546	-0.773329	-0.091615	0.299655	0.691368	1.440079	1.978088	0.6644	0.6634	0.3716	5.563223	6.172246
2459571	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.450153	0.179639	-0.673612	0.341152	-0.052822	0.992145	1.348203	-0.258282	0.0315	0.0292	0.0012	nan	nan
2459570	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.198676	0.908201	1.034662	1.136637	0.566365	0.964376	-1.429052	-1.199324	0.6111	0.6231	0.3508	0.000000	0.000000
2459569	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.207288	11.991407	-0.796678	-0.079832	-0.270464	0.266248	-0.347932	0.429680	0.7265	0.7255	0.2512	5.987470	6.293719
2459566	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.409336	12.038698	-0.777459	0.104830	0.037343	1.035794	1.047971	2.698646	0.6491	0.6487	0.3884	4.617620	5.280951
2459565	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	-0.474250	-0.474250	-0.491922	-0.491922	1.366555	1.366555	0.674491	0.674491	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459563	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.096726	13.268792	-0.749703	3.122760	0.301727	1.950022	-0.122314	1.975216	0.6626	0.6568	0.3830	4.078416	5.235301
2459562	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.036461	8.354688	-0.208695	-0.095650	0.606360	0.345083	0.306544	1.164382	0.6584	0.6600	0.3829	3.647059	4.134036
2459561	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.858362	8.068466	-0.331711	-0.213291	0.871364	1.076394	0.839180	1.181267	0.6682	0.6693	0.3787	3.601054	4.039295
2459560	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.887335	8.030181	-0.151989	-0.222726	0.784935	0.506088	0.432189	1.076455	0.6580	0.6551	0.3897	3.905487	4.378647
2459559	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.107937	8.853244	-0.330876	-0.413649	0.584090	0.374644	0.208788	0.236699	0.6593	0.6568	0.3773	3.612908	4.028746
2459558	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.269487	11.299533	-0.633685	0.074049	0.473233	0.627030	0.786560	2.804217	0.6574	0.6523	0.3888	6.476599	6.429565
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0310	0.0282	0.0005	nan	nan
2459556	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.565942	12.559991	-0.681259	0.133438	0.209017	1.196587	0.340477	2.034980	0.6601	0.6591	0.3801	6.418318	6.054064
2459554	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6662	0.6658	0.3877	nan	nan
2459553	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6626	0.6618	0.3853	nan	nan
2459552	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.998022	14.979527	-0.755600	0.885727	0.835911	0.144294	0.817516	1.350494	0.6673	0.6638	0.3844	10.335905	8.872316
2459551	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.815616	7.347372	-0.365924	-0.414587	0.783573	0.775226	1.203852	1.817773	0.6635	0.6648	0.3784	3.906399	4.119354
2459550	RF_maintenance	-	99.18%	99.18%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0372	0.0357	0.0003	nan	nan
2459549	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.661950	10.974945	-0.892520	0.119916	0.202552	1.458237	0.144850	1.785694	0.6506	0.6570	0.3964	3.183716	3.526776
2459542	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459541	RF_maintenance	100.00%	3.13%	3.58%	0.00%	100.00%	0.00%	0.914976	11.738098	-0.334190	0.551492	12.624533	11.070643	5.129506	5.935243	0.6900	0.6800	0.3381	5.398230	4.176355
2459540	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.442440	10.341479	-0.419781	-0.141163	-0.462522	-0.548277	0.435434	2.499559	0.7241	0.7124	0.3498	4.246346	4.403158
2459536	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.744190	18.643105	-0.829360	1.341541	0.570993	0.775063	2.230821	4.974817	0.6839	0.6823	0.4182	3.912812	4.379479
2459535	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.727622	7.969803	-0.231524	-0.110624	-0.872754	-1.119122	0.210579	1.591381	0.7601	0.7382	0.3631	4.252647	4.309212
2459534	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.637045	7.596311	-0.145559	-0.112703	-0.222071	-0.840935	1.054274	1.517286	0.7532	0.7296	0.3614	4.413852	4.511434
2459533	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.765397	12.869779	-0.759698	0.112298	0.434317	0.758623	1.819975	3.869048	0.6872	0.6828	0.3926	5.058246	4.837417
2459532	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.056054	15.783636	-0.729041	0.426764	-0.255557	0.892145	0.826653	6.750224	0.6882	0.6865	0.3928	5.265720	5.265752
2459530	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459522	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459513	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.357917	0.138336	-0.944805	-0.310581	1.032100	-0.318274	1.259301	1.282234	0.0324	0.0281	0.0006	nan	nan
2459508	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.024622	8.884845	-0.753969	-0.364448	0.114657	3.359487	1.111752	2.663746	0.9019	0.9392	0.2023	0.000000	0.000000
2459505	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.225915	16.726125	-0.518215	0.321337	1.362657	1.630164	2.497036	6.601274	0.1029	0.1140	0.0064	1.095714	1.097959
2459503	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.735832	11.322631	0.234847	0.782880	0.603232	1.023554	1.446932	4.892508	0.8641	0.8495	0.4623	0.000000	0.000000
2459501	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.350755	10.072473	-0.122753	0.060170	-0.256013	2.607124	0.253708	3.745119	0.1388	0.1579	0.0287	0.000000	0.000000
2459500	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.556004	10.685048	-0.563453	-0.093974	1.608074	1.619986	0.162542	1.621204	0.1423	0.1590	0.0307	0.000000	0.000000
2459499	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.370586	9.947432	-0.618002	-0.024793	1.685187	3.745013	0.788745	7.912134	0.1474	0.1431	0.0159	0.000000	0.000000
2459498	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.656656	11.710876	-0.162210	0.338776	2.062088	2.205509	0.444835	3.574106	0.1414	0.1577	0.0355	0.000000	0.000000
2459497	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.960949	13.194398	0.129236	0.426083	3.923473	3.038201	0.810985	4.950186	0.1603	0.1810	0.0368	0.000000	0.000000
2459496	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.940593	13.166462	-0.291549	0.390041	3.571414	3.274922	0.350255	2.016798	0.1776	0.1911	0.0458	0.000000	0.000000
2459495	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.423810	10.510368	-0.409898	0.326568	3.506872	3.590752	1.111979	4.459945	0.1691	0.1776	0.0477	0.000000	0.000000
2459494	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.305457	12.258926	-0.746486	0.279477	4.319804	5.181642	1.314115	5.896387	0.1609	0.1905	0.0433	0.000000	0.000000
2459492	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	2.164939	16.595935	-0.749890	0.618946	0.559842	7.259386	1.487569	15.935179	0.1417	0.1363	0.0353	0.000000	0.000000
2459491	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	2.202708	18.918075	-0.649376	0.823294	0.946744	3.621545	1.559895	6.271454	0.1516	0.1485	0.0264	0.000000	0.000000
2459490	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.248999	20.434037	-0.941946	1.107146	0.924743	2.908922	1.811644	7.434070	0.7201	0.7777	0.3797	0.000000	0.000000
2459489	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.759380	18.982936	-0.793056	0.762721	1.964828	4.078383	0.703569	5.214516	0.7380	0.7850	0.3359	0.000000	0.000000
2459488	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.555385	17.602921	-0.793610	0.696965	0.417742	4.383993	1.454791	7.204130	0.7403	0.7890	0.3640	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 136 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 136, Node 12:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 136: 2459597

Antenna 136: 2459596

Antenna 136: 2459595

Antenna 136: 2459594

Antenna 136: 2459593

Antenna 136: 2459592

Antenna 136: 2459591

Antenna 136: 2459590

Antenna 136: 2459589

Antenna 136: 2459588

Antenna 136: 2459587

Antenna 136: 2459586

Antenna 136: 2459585

Antenna 136: 2459584

Antenna 136: 2459583

Antenna 136: 2459582

Antenna 136: 2459581

Antenna 136: 2459580

Antenna 136: 2459579

Antenna 136: 2459578

Antenna 136: 2459577

Antenna 136: 2459576

Antenna 136: 2459575

Antenna 136: 2459574

Antenna 136: 2459573

Antenna 136: 2459572

Antenna 136: 2459571

Antenna 136: 2459570

Antenna 136: 2459569

Antenna 136: 2459566

Antenna 136: 2459565

Antenna 136: 2459564

Antenna 136: 2459563

Antenna 136: 2459562

Antenna 136: 2459561

Antenna 136: 2459560

Antenna 136: 2459559

Antenna 136: 2459558

Antenna 136: 2459556

Antenna 136: 2459552

Antenna 136: 2459551

Antenna 136: 2459549

Antenna 136: 2459542

Antenna 136: 2459541

Antenna 136: 2459540

Antenna 136: 2459536

Antenna 136: 2459535

Antenna 136: 2459534

Antenna 136: 2459533

Antenna 136: 2459532

Antenna 136: 2459530

Antenna 136: 2459527

Antenna 136: 2459524

Antenna 136: 2459523

Antenna 136: 2459522

Antenna 136: 2459513

Antenna 136: 2459508

Antenna 136: 2459506

Antenna 136: 2459505

Antenna 136: 2459503

Antenna 136: 2459501

Antenna 136: 2459500

Antenna 136: 2459499

Antenna 136: 2459498

Antenna 136: 2459497

Antenna 136: 2459496

Antenna 136: 2459495

Antenna 136: 2459494

Antenna 136: 2459492

Antenna 136: 2459491

Antenna 136: 2459490

Antenna 136: 2459489

Antenna 136: 2459488

Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶